Title :
Translation-invariant denoising using multiwavelets
Author :
Bui, Tien D. ; Chen, Guangyi
Author_Institution :
Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
fDate :
12/1/1998 12:00:00 AM
Abstract :
Translation invariant (TI) single wavelet denoising was developed by Coifman and Donoho (1994), and they show that TI is better than non-TI single wavelet denoising. On the other other hand, Strela et al. (1994) have found that non-TI multiwavelet denoising gives better results than non-TI single wavelets. We extend Coifman and Donoho´s TI single wavelet denoising scheme to multiwavelets. Experimental results show that TI multiwavelet denoising is better than the single case for soft thresholding
Keywords :
interference suppression; mean square error methods; signal processing; wavelet transforms; TI; multiwavelets; single wavelet denoising; translation-invariant denoising; Computer graphics; Continuous wavelet transforms; Discrete wavelet transforms; Image coding; Image denoising; Noise reduction; Pattern recognition; Signal processing; Signal processing algorithms; Wavelet coefficients;
Journal_Title :
Signal Processing, IEEE Transactions on
